https://github.com/cvs-health/aequilibrium
Package designed for handling imbalanced classification
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (9.0%) to scientific vocabulary
Last synced: 10 months ago
·
JSON representation
Repository
Package designed for handling imbalanced classification
Basic Info
- Host: GitHub
- Owner: cvs-health
- License: apache-2.0
- Language: Python
- Default Branch: master
- Size: 2.22 MB
Statistics
- Stars: 18
- Watchers: 1
- Forks: 5
- Open Issues: 1
- Releases: 3
Created about 3 years ago
· Last pushed over 2 years ago
Metadata Files
Readme
Contributing
License
Code of conduct
README.md
aequilibrium
Python package for classification of imbalanced data. Can be used to do any / all of the following: 1. Balance training data 1. Fit models to imbalanced data 1. Evaluate models trained against imbalanced data
Installation
The latest version can be installed from PyPI:
```bash
note that aequilibrium requires python 3.7
if pip install fails, check your python version
pip install aequilibrium ```
Usage
Please review our aequilibrium example code here
Features Under Development
- Speeding up run times
- Option to not store balanced dataframes
- Additional balancing techniques
Contributor Guide
- Before contributing to this CVS Health sponsored project, you will need to sign the associated Contributor License Agreement.
- See contributing page.
Owner
- Name: CVS Health
- Login: cvs-health
- Kind: organization
- Repositories: 3
- Profile: https://github.com/cvs-health
GitHub Events
Total
Last Year
Issues and Pull Requests
Last synced: 10 months ago
All Time
- Total issues: 1
- Total pull requests: 5
- Average time to close issues: N/A
- Average time to close pull requests: 1 minute
- Total issue authors: 1
- Total pull request authors: 1
- Average comments per issue: 0.0
- Average comments per pull request: 0.0
- Merged pull requests: 5
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- burtonrj (1)
Pull Request Authors
- lcbeas (2)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- pypi 60 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 3
- Total maintainers: 1
pypi.org: aequilibrium
Python package for classification of imbalanced data.
- Homepage: https://github.com/cvs-health/aequilibrium
- Documentation: https://aequilibrium.readthedocs.io/
- License: apache-2.0
-
Latest release: 1.0.2
published over 2 years ago
Rankings
Dependent packages count: 7.1%
Average: 19.8%
Dependent repos count: 32.5%
Maintainers (1)
Last synced:
10 months ago
Dependencies
poetry.lock
pypi
- 123 dependencies
pyproject.toml
pypi
- black ^22.3.0 develop
- hypothesis ^6.58.0 develop
- isort ^5.9.3 develop
- jupyter ^1.0.0 develop
- mypy ^0.961 develop
- nbqa ^1.5.1 develop
- pre-commit 2.19.0 develop
- pylint ^2.12.2 develop
- pytest ^7.1.2 develop
- imbalanced-learn <0.9
- matplotlib <3.6
- numpy ^1.21
- pandas ^1.3
- python >=3.7.1,<3.8
- scikit-learn <1.1
- seaborn <0.12